325cb16e3f
### What this PR does / why we need it?
The precision issue arose because the kv cache of the p-node had not
been fetched for an extended period(>6min) and was forcibly freed. To
avoid this problem, the batch size was reduced and the timeout period
has also been extended.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.14.1
- vLLM main:
dc917cceb8
Signed-off-by: dsxsteven <dsxsteven@sina.com>
110 lines
3.4 KiB
YAML
110 lines
3.4 KiB
YAML
test_name: "test DeepSeek-R1-W8A8-longseq disaggregated_prefill"
|
|
model: "vllm-ascend/DeepSeek-R1-0528-W8A8"
|
|
num_nodes: 2
|
|
npu_per_node: 16
|
|
env_common:
|
|
HCCL_OP_EXPANSION_MODE: AIV
|
|
VLLM_USE_MODELSCOPE: true
|
|
HCCL_BUFFSIZE: 768
|
|
SERVER_PORT: 8080
|
|
OMP_PROC_BIND: false
|
|
OMP_NUM_THREADS: 1
|
|
PYTORCH_NPU_ALLOC_CONF: expandable_segments:True
|
|
HCCL_DETERMINISTIC: True
|
|
TASK_QUEUE_ENABLE: 1
|
|
HCCL_OP_RETRY_ENABLE: "L0:0, L1:0"
|
|
VLLM_NIXL_ABORT_REQUEST_TIMEOUT: 300000
|
|
|
|
disaggregated_prefill:
|
|
enabled: true
|
|
prefiller_host_index: [0]
|
|
decoder_host_index: [1]
|
|
|
|
deployment:
|
|
-
|
|
server_cmd: >
|
|
vllm serve vllm-ascend/DeepSeek-R1-0528-W8A8
|
|
--host 0.0.0.0
|
|
--port $SERVER_PORT
|
|
--data-parallel-size 1
|
|
--decode-context-parallel-size 8
|
|
--prefill-context-parallel-size 2
|
|
--tensor-parallel-size 8
|
|
--cp-kv-cache-interleave-size 128
|
|
--enforce-eager
|
|
--enable-expert-parallel
|
|
--seed 1024
|
|
--quantization ascend
|
|
--max-num-seqs 3
|
|
--max-model-len 32768
|
|
--max-num-batched-tokens 16384
|
|
--trust-remote-code
|
|
--gpu-memory-utilization 0.85
|
|
--enable-chunked-prefill
|
|
--speculative-config '{"num_speculative_tokens": 3, "method":"mtp"}'
|
|
--kv-transfer-config
|
|
'{"kv_connector": "MooncakeConnectorV1",
|
|
"kv_role": "kv_producer",
|
|
"kv_port": "30000",
|
|
"engine_id": "0",
|
|
"kv_connector_extra_config": {
|
|
"prefill": {
|
|
"dp_size": 1,
|
|
"tp_size": 8
|
|
},
|
|
"decode": {
|
|
"dp_size": 2,
|
|
"tp_size": 8
|
|
}
|
|
}
|
|
}'
|
|
|
|
-
|
|
server_cmd: >
|
|
vllm serve vllm-ascend/DeepSeek-R1-0528-W8A8
|
|
--host 0.0.0.0
|
|
--port $SERVER_PORT
|
|
--data-parallel-size 2
|
|
--decode-context-parallel-size 2
|
|
--prefill-context-parallel-size 1
|
|
--tensor-parallel-size 8
|
|
--cp-kv-cache-interleave-size 128
|
|
--enable-expert-parallel
|
|
--seed 1024
|
|
--quantization ascend
|
|
--max-num-seqs 8
|
|
--max-model-len 32768
|
|
--max-num-batched-tokens 256
|
|
--trust-remote-code
|
|
--gpu-memory-utilization 0.85
|
|
--compilation_config '{"cudagraph_capture_sizes":[4,8,16,32],"cudagraph_mode": "FULL_DECODE_ONLY"}'
|
|
--enable-chunked-prefill
|
|
--speculative-config '{"num_speculative_tokens": 3, "method":"mtp"}'
|
|
--kv-transfer-config
|
|
'{"kv_connector": "MooncakeConnectorV1",
|
|
"kv_role": "kv_consumer",
|
|
"kv_port": "30100",
|
|
"engine_id": "1",
|
|
"kv_connector_extra_config": {
|
|
"prefill": {
|
|
"dp_size": 1,
|
|
"tp_size": 8
|
|
},
|
|
"decode": {
|
|
"dp_size": 2,
|
|
"tp_size": 8
|
|
}
|
|
}
|
|
}'
|
|
|
|
benchmarks:
|
|
acc:
|
|
case_type: accuracy
|
|
dataset_path: vllm-ascend/gsm8k
|
|
request_conf: vllm_api_general_chat
|
|
dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_chat_prompt
|
|
max_out_len: 24576
|
|
batch_size: 16
|
|
baseline: 95
|
|
threshold: 5
|